An Efficient Fuzzy Method for Bangla Handwritten Numerals Recognition

• Published in: 2006 International Conference on Electrical and Computer Engineering pp. 197 - 200
• Main Authors: Hoque, M.M., Mainul Islam, Md, Ali, M.M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-12-2006
• Subjects: Character generation; Character recognition; Computer science; Fuzzy logic; Fuzzy systems; Handheld computers; Handwriting recognition; Shape; Spatial databases; Writing
• ISBN: 9843238141; 9789843238146
• DOI: 10.1109/ICECE.2006.355324

The object of the handwritten character recognition is the recognition of data that describe handwritten objects. On-line handwritten recognition deals with a time ordered sequence of data. This paper presents an on-line handwritten recognition system for recognizing the Bangla numerals using the fuzzy rule-base. Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. The selection of the representative features, which describe the shapes and location of segments, is the core of the proposed approach. This paper describes a method that can be used to generate a fuzzy value database that describes the characters written by different individuals.